Simon's repositories
cloud-storage-uploader
a module for cloud storage uploading, including Tencent's qcloud and Amazon's S3
nextjs-online
Created with StackBlitz ⚡️
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
ext-saladict
🥗 All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.
img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
JavaScript-Load-Image
Load images provided as File or Blob objects or via URL. Retrieve an optionally scaled, cropped or rotated HTML img or canvas element. Use methods to parse image metadata to extract IPTC and Exif tags as well as embedded thumbnail images, to overwrite the Exif Orientation value and to restore the complete image header after resizing.
react-konva-examples
Created with CodeSandbox
redcaps-downloader
Command-line tool for downloading and extending the RedCaps dataset.
semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving
where-is-my-next-book
Find your next book in the nearest library
zh-hans.reactjs.org
React documentation website in Simplified Chinese
chatgpt-on-wechat
Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于 GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/LinkAI，支持个人微信、公众号、企业微信部署，能处理文本、语音和图片，访问操作系统和互联网，支持基于知识库定制专属机器人。
cheetah
Mac app for crushing remote tech interviews with AI
discord.js-guide
The official guide for discord.js, created and maintained by core members of its community.
discord.py
An API wrapper for Discord written in Python.
docs
The content for developer.wordpress.org/rest-api
nextly-template
Nextly Landing Page Template built with Next.js & TailwindCSS
restore-source-tree
Restores file structure from source map
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.